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Tanto as técnicas de microscopia para medição de tamanho de poros, como as simulações computacionais destes materiais porosos, são fundamentais para a sua otimização. Prevê-se que as inovações e o desenvolvimento destes materiais poliméricos avançados possam beneficiar desta abordagem, que tanto inclui medições experimentais como simulações computacionais.

As simulações computacionais permitem criar um conjunto de 1000 amostras a partir das quais é possível construir árvores de regressão/decisão e assim relacionar as causas e os efeitos, de forma a otimizar os materiais. Os estudos envolvendo simulações computacionais e arvores de regressão/ decisão permitem descobrir novos materiais com as porosidades pretendidas, planear experiencias pra obter esses materiais e saber o que e possível conseguir com esses materiais. Um dos exemplos que se pode referir, é da otimização da porosidade, pois ao mudar a porosidade, a espessura, a área relativa de ligação e as propriedades mecânicas também mudam. As simulações e as árvores de permitem ter uma visão integrada do material.

Além da porosidade também a espessura dos materiais biomédicos para aplicações avançadas é muito importante. Por exemplo dependendo desta, estes podem ser colocados na corrente sanguínea ou colocados junto a um tumor.

Nos adesivos cirúrgicos a porosidade é importantes para permitir a exsudação das feridas. Também no revestimento de partículas esféricas, e revestimento de próteses ósseas, a espessura desse revestimento e a sua otimização é um dos temas de investigação mais atuais, no qual vários investigadores se debruçam. Pela primeira vez conseguem-se obter materiais com espessuras e porosidades que permitem abrir um grande leque de utilizações.

Relativamente ao trabalho futuro pretende-se continuar a completar este estudo integrando sempre a parte computacional com o trabalho experimental.

Um dos objetivos é continuar a explorar a capacidade do simulador computacional. Uma vez que com as simulações computacionais é possível obter um elevado número de experiencias computacionais pretende-se continuar a utilizar as árvores de decisão/regressão para quantificar as relações entre as variáveis e otimizar as estruturas de acordo com as diferentes aplicações. Dentro das aplicações na área da biomedicina as mais importantes são os suportes para crescimento celular e os sistemas de entrega de moléculas. Também em outros materiais porosos como por exemplo em materiais ósseos se prevê que estes métodos possam ser muito uteis.

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